DENSITY ESTIMATION;
NONPARAMETRIC ESTIMATION;
LOWER BOUNDS;
MINIMAX THEORY;
RATE OF CONVERGENCE;
D O I:
10.1016/0167-7152(94)00095-P
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
We give a short proof of the following result. Let f(n) be any density estimate based upon an i.i.d. sample drawn from a density f. For any monotone decreasing sequence {a(n)} of positive numbers converging to zero with a(1) less than or equal to 1/32, a density f may be found such that E{integral\f(n)(x)-f(x)\dx}greater than or equal to a(n) for all n. This density may be picked from the class of densities on [0,1] that are bounded by two. The proof of this fact simplifies an earlier proof by Birge (1986) and extends a weaker lower bound by the author (1983).